easystats: R Framework for Statistical Modeling, Visualization, and Reporting

Daniel Lüdecke's easystats is a meta-package providing a unifying framework for statistical analysis in R. It bundles multiple packages to offer consistent modeling, visualization, and reporting workflows. The collection includes teaching articles for instructors and a dashboard for new users to access summaries and visualizations with minimal programming.

Use Cases

• Conduct statistical modeling based on the framework's consistent approach to model fitting.
• Generate visualizations based on the integrated plotting and reporting capabilities.
• Teach statistical concepts using the provided instructional articles targeted at educators.
• Perform exploratory data analysis using the dashboard for accessing summary results and fit indices.

Strengths

• Provides a unifying and consistent framework across multiple statistical packages.
• Includes targeted resources for two key audiences: instructors and new R users.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Daniel Lüdecke via paperswithcode

Collection Method

A meta-package that installs and loads a set of R packages from the 'easystats' ecosystem.

Time Range

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Freshness

Last update date is unknown; freshness unverified.

Geography

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